Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences

Fausto Milletari; Nassir Navab; Pascal Fallavollita

doi:10.1007/978-3-642-40760-4_47

Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences

Fausto Milletari, Nassir Navab, Pascal Fallavollita

Informatics 16 - Chair of Computer Aided Medical Procedures

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any initialization, is completely automatic, and can detect an arbitrary number of catheters at the same time. The method is based on the usage of blob detectors and clustering in order to detect all catheter electrodes, overlapping or not, within the X-ray images. The proposed technique is validated on 1422 fluoroscopic images yielding a tip detection rate of 99.3% and mean distance of 0.5mm from manually labeled ground truth centroids for all electrodes.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages	371-379
Number of pages	9
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-40760-4_47
State	Published - 2013
Event	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: 22 Sep 2013 → 26 Sep 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8151 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 26/09/13

Access to Document

10.1007/978-3-642-40760-4_47

Cite this

Milletari, F., Navab, N., & Fallavollita, P. (2013). Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings (PART 3 ed., pp. 371-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8151 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-40760-4_47

Milletari, Fausto ; Navab, Nassir ; Fallavollita, Pascal. / Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. pp. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences",

abstract = "We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any initialization, is completely automatic, and can detect an arbitrary number of catheters at the same time. The method is based on the usage of blob detectors and clustering in order to detect all catheter electrodes, overlapping or not, within the X-ray images. The proposed technique is validated on 1422 fluoroscopic images yielding a tip detection rate of 99.3% and mean distance of 0.5mm from manually labeled ground truth centroids for all electrodes.",

author = "Fausto Milletari and Nassir Navab and Pascal Fallavollita",

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Milletari, F, Navab, N & Fallavollita, P 2013, Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8151 LNCS, pp. 371-379, 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-642-40760-4_47

Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. / Milletari, Fausto; Navab, Nassir; Fallavollita, Pascal.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3. ed. 2013. p. 371-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8151 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any initialization, is completely automatic, and can detect an arbitrary number of catheters at the same time. The method is based on the usage of blob detectors and clustering in order to detect all catheter electrodes, overlapping or not, within the X-ray images. The proposed technique is validated on 1422 fluoroscopic images yielding a tip detection rate of 99.3% and mean distance of 0.5mm from manually labeled ground truth centroids for all electrodes.

AB - We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any initialization, is completely automatic, and can detect an arbitrary number of catheters at the same time. The method is based on the usage of blob detectors and clustering in order to detect all catheter electrodes, overlapping or not, within the X-ray images. The proposed technique is validated on 1422 fluoroscopic images yielding a tip detection rate of 99.3% and mean distance of 0.5mm from manually labeled ground truth centroids for all electrodes.

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Milletari F, Navab N, Fallavollita P. Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 ed. 2013. p. 371-379. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-40760-4_47

Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences

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